* last updated 2018/04/10

Name:
Noda, Shintaro (in Japanese, 野田, 晋太朗, which means `go straight forward powerfully and cheerfully')

Interest:
Robot, humanoid robot, motion planning, passive walk

Education:
2015.4-2018.3: Ph.D. in Information Science and Technology (The University of Tokyo)
2013.4-2015.3: M.S. in Information Science and Technology (The Univeresity of Tokyo)
2009.4-2013.3: B.S. in Mechano-Informatics (The Univeresity of Tokyo)

Contact:
Place: #83B1, Faculty of Engineering Building 2, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan (JSK Lab)
Email: s-noda at jsk.imi.i.u-tokyo.ac.jp
github: s-noda
Twitter: @n0dananoda

Honor:
2015.4-2018.3: JSPS Research Fellow DC1
2015.5: Half exemption of scholarship repayment, JASSO scholarship Type 1
2016.10: IEEE RAS Japan Chapter Young Award (in IROS2016 [C4])

Publication:
DBLP, Google Scholar

Favorite works:
* [C] conference proceedings, [D] domestic publications, and [M] misc. ones
[C1] Shintaro Noda et al.: "Generating whole-body motion keep away from joint torque, contact force, contact moment limitations enabling steep climbing with a real humanoid robot" ICRA 2014, pp.1775-1781

[C2] Shintaro Noda et al.: "Online Maintaining Behavior of High-Load and Unstable Postures Based on Whole-Body Load Balancing Strategy with Thermal Prediction" CASE 2014, pp.1166-1171

[C3] Shintaro Noda et al.: "Contact involving whole-body behavior generation based on contact transition strategies switching" IROS 2015, pp.2787-2794

[D1] Shintaro Noda et al.: "Contact-motion planning integrating multiple contact transition strategies and its application to slide contact motion for humanoid robot" JRSJ 2017, Vol.35, No.5, pp.393-402 [DOI]

[C4] Shintaro Noda et al.: "Redundancy Embedding for Search Space Reduction using Deep Auto-Encoder: Application to Collision-Free Posture Generation" IROS 2016, pp.3698-3705

[M1] Shintaro Noda et al.: "Deep-auto-encoder based robot’s state mapping from task with task redundancy and fast global optimization involving task constraints" Informal